In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

We have evaluated the output of Nefnir against a reference corpus of 21,093 tokens and their correct lemmas.

Samples for the reference corpus were extracted from two larger corpora, in order to obtain a diverse vocabulary: 
 Question: Which dataset do they use?
a reference corpus of 21,093 tokens and their correct lemmas

The dataset contains a total of 9710 passages, with an average of 6.24 sentences per passage, 16.16 words per sentence, and an average length of 86 words. 
 Question: What is the size of this dataset?
9710 passages, with an average of 6.24 sentences per passage, 16.16 words per sentence, and an average length of 86 words

We introduce a new crowdsourced dataset of 23,700 queries, including 22,500 in-scope queries covering 150 intents, which can be grouped into 10 general domains.  
 Question: Where does the data come from?

crowsourcing platform

